mcpField
Z
Zebu Data - TripAdvisor Travel Data

Zebu Data - TripAdvisor Travel Data

Remote
apify.comMaps & Travel

About Zebu Data - TripAdvisor Travel Data

Zebu Data provides Apify-backed MCP server bundles that let AI clients collect structured data from web scrapers. Its travel-data bundle covers TripAdvisor hotels, restaurants and attractions, including rankings, ratings, prices, amenities and reviews.

Key features

  1. 01TripAdvisor hotel, restaurant and attraction data
  2. 02Rankings, ratings, prices and amenities
  3. 03TripAdvisor review collection
  4. 04Remote MCP server bundles via Apify

Use cases

  1. 01Gather TripAdvisor details for travel research
  2. 02Compare ratings, prices and amenities
  3. 03Collect reviews for destination analysis

MCP support

The `io.github.zebudata/travel-data` bundle exposes Apify TripAdvisor scrapers through a remote MCP server. MCP clients connect using its bundle URL; first use requires signing in to Apify.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com/?tools=delicious_zebu/tripadvisor-hotel-details-scraper,delicious_zebu/tripadvisor-review-collector
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.apify.com/?tools=delicious_zebu/tripadvisor-hotel-details-scraper,delicious_zebu/tripadvisor-review-collectorAuth required

Tools

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.